Amdocs (DOX) Operating Expenses (2009 - 2026)
Amdocs' Operating Expenses came in at $128.39 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 86.4% from $941.97 million a year earlier but up 118.9% from the prior quarter.
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Analysis
Amdocs (DOX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Amdocs reported Operating Expenses of $1.24 billion, down 68.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $3.8 billion, down 13.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $4.38 billion in FY2024 (+3.4%), $4.23 billion in FY2023 (+8.2%), $3.91 billion in FY2022 (+6.0%) and $3.69 billion in FY2021 (+3.2%).
- The five-year range for quarterly Operating Expenses is -$1.66 million (fiscal Q1 2022) to $1.15 billion (fiscal Q4 2024).
- Year-over-year, Operating Expenses has declined for four consecutive quarters, with an average decline of 56.6% over the last five quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2022 (growth of 143.8%), and the weakest in fiscal Q3 2024 (a decline of 98.0%).
- Business Quant data shows DOX's Operating Expenses at $58.66 million (Q2 2026), $38.04 million (Q1 2026) and $1.02 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Amdocs | 6.23 Bn | 5.27 Bn | 467.16 Mn | 128.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.39 Mn |
| Mar 31, 2026 | 58.66 Mn |
| Dec 31, 2025 | 38.04 Mn |
| Sep 30, 2025 | 1.02 Bn |
| Jun 30, 2025 | 941.97 Mn |
| Mar 31, 2025 | 930.47 Mn |
| Dec 31, 2024 | 911.22 Mn |
| Sep 30, 2024 | 1.15 Bn |
| Jun 30, 2024 | 20.94 Mn |
| Mar 31, 2024 | 49.09 Mn |
| Dec 31, 2023 | 25.22 Mn |
| Sep 30, 2023 | 1.10 Bn |
| Jun 30, 2023 | 1.05 Bn |
| Mar 31, 2023 | 1.04 Bn |
| Dec 31, 2022 | 1.04 Bn |
| Sep 30, 2022 | 994.82 Mn |
| Jun 30, 2022 | 79.64 Mn |
| Mar 31, 2022 | 82.13 Mn |
| Dec 31, 2021 | -1.66 Mn |
| Sep 30, 2021 | 932.98 Mn |
API Access
Amdocs Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=DOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DOX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=DOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();